Speakers:
Luiz Schirmer, Guilherme Schardong, Vinicius da Silva, Tiago Novello, Daniel Yukimura, Thales Magalhaes, Hallison da Paz
This tutorial presents methods that use neural networks for implicit representations of 3D geometry (neural implicit functions). We explore the different aspects of neural implicit functions for shape modeling and synthesis. We aim to provide a theoretical analysis of 3D shape reconstruction using deep neural networks and introduce a discussion between researchers interested in this research field.